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Research Papers

Design Optimization for Sustainable Products Under Users' Preference Changes

[+] Author and Article Information
Hamid Afshari

Mem. ASME
Department of Mechanical Engineering,
University of Manitoba,
Winnipeg, MB R3T 5V6, Canada
e-mail: afsharih@myumanitoba.ca

Qingjin Peng

Mem. ASME
Department of Mechanical Engineering,
University of Manitoba,
Winnipeg, MB R3T 5V6, Canada
e-mail: Qingjin.Peng@Umanitoba.ca

Peihua Gu

Department of Mechatronics Engineering,
Shantou University,
Shantou 515063, China
e-mail: Peihuagu@stu.edu.cn

1Corresponding author.

Contributed by the Design Engineering Division of ASME for publication in the JOURNAL OF COMPUTING AND INFORMATION SCIENCE IN ENGINEERING. Manuscript received January 31, 2016; final manuscript received March 15, 2016; published online November 7, 2016. Assoc. Editor: Charlie C. L. Wang.

J. Comput. Inf. Sci. Eng 16(4), 041001 (Nov 07, 2016) (7 pages) Paper No: JCISE-16-1054; doi: 10.1115/1.4033234 History: Received January 31, 2016; Revised March 15, 2016

Decisions made in the early design phase enormously contribute to the performance of a product during its life cycle. Since users' preferences may change over time, a product design should be revised under the preference change. Providing accurate data for designers ensures an optimal decision for product design; this research presents a new method to assess effects of the quantified changes on product cost and development time. In addition, two models to optimize design under unexpected disturbances are proposed. Normally, optimal parameters require several search iterations in design process before finalizing a product. The design time in terms of number of iterations can be reduced by adding resources in each iteration using modern control engineering methods. However, adding resources will increase the design cost. The proposed method in this research minimizes the total product design cost and environmental impacts under changes of users' preferences. The method is validated using an example of the smartphone design. The research novelty is a method of applying quantified changes of external disturbances (such as changes in users' preferences) in the design process, addressing a real problem in industry, and proposing optimal models of products for reduced cost and environmental impacts.

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References

Figures

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Fig. 1

Stages of the proposed method for design process under uncertainties

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Fig. 2

Model structure of a closed-loop feedback system based on Eq. (6)

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Fig. 3

Proposed solution approach for the optimization model

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Fig. 4

WTM for the smartphone

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Fig. 5

Objective function values for models including and excluding uncertainties

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